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Suppressing homoclinic chaos for a weak periodically excited non-smooth oscillator

机译:抑制弱周期性激发的非平滑振荡器的同型混沌

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In this work, some new effective methods for suppressing homoclinic chaos in a weak periodically excited non-smooth oscillator are studied, and the main idea is to modify slightly the Melnikov function such that the zeros are eliminated. Firstly, a general form of planar piecewise-smooth oscillators is given to approximatively model many nonlinear restoring force of smooth oscillators subjected to all kinds of damping and periodic excitations. In the absence of controls, the Melnikov method for non-smooth homoclinic trajectories within the framework of a piecewise-smooth oscillator is briefly introduced without detailed derivation. This analytical tool is useful to detect the threshold of parameters for the existence of homoclinic chaos in the non-smooth oscillator. After some methods of state feedback control, self-adaptive control and parametric excitations control are, respectively, considered, sufficient criteria for suppressing homoclinic chaos are derived by employing the Melnikov function of non-smooth systems. Finally, the effectiveness of strategies for suppressing homoclinic chaos is analytically and numerically demonstrated through a specific example.
机译:在这项工作中,研究了一些新的有效方法,用于在弱周期性激发的非平滑振荡器中抑制同型混沌,主要思想是稍微修改梅尔妮可透明函数,使得零被消除。首先,将一般形式的平面分段光滑的振荡器提供了近似地模型,这些非线性恢复力的平滑振荡器经受各种阻尼和周期激发。在没有对照的情况下,简要介绍了在没有详细的推导的情况下简要介绍了分段光滑振荡器框架内的非平滑同型轨迹的梅尔尼科夫方法。该分析工具可用于检测非光滑振荡器中存在同型混沌的参数阈值。在一些状态反馈控制的方法之后,分别考虑了自适应控制和参数激发控制,通过采用非光滑系统的梅尔尼科夫函数来推导出抑制同种纤维蛋白的充分标准。最后,通过具体实施例分析和数值证明了抑制同纺混沌的策略的有效性。

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